Photoshop is a useful tool for everything from creating social media graphics to editing and sizing photos. There is a bit of a learning curve, so you need to have a bit of experience to master it and use it for a variety of tasks. You also need to have a good sense of file organization so you can find files quickly without losing track of them.
If the number of connections is expected to be low, but the amounts of data are large or projected to grow it is a good solutions especially if there is previous exposure to PostgreSQL. Speaking of Postgres, Redshift is based on several versions old releases of PostgreSQL so the developers would not be able to take advantage of some of the newer SQL language features. The queries need some fine-tuning still, indexing is not provided, but playing with sorting keys becomes necessary. Lastly, there is no notion of the Primary Key in Redshift so the business must be prepared to explain why duplication occurred (must be vigilant for)
[Amazon] Redshift has Distribution Keys. If you correctly define them on your tables, it improves Query performance. For instance, we can define Mapping/Meta-data tables with Distribution-All Key, so that it gets replicated across all the nodes, for fast joins and fast query results.
[Amazon] Redshift has Sort Keys. If you correctly define them on your tables along with above Distribution Keys, it further improves your Query performance. It also has Composite Sort Keys and Interleaved Sort Keys, to support various use cases
[Amazon] Redshift is forked out of PostgreSQL DB, and then AWS added "MPP" (Massively Parallel Processing) and "Column Oriented" concepts to it, to make it a powerful data store.
[Amazon] Redshift has "Analyze" operation that could be performed on tables, which will update the stats of the table in leader node. This is sort of a ledger about which data is stored in which node and which partition with in a node. Up to date stats improves Query performance.
We've experienced some problems with hanging queries on Redshift Spectrum/external tables. We've had to roll back to and old version of Redshift while we wait for AWS to provide a patch.
Redshift's dialect is most similar to that of PostgreSQL 8. It lacks many modern features and data types.
Constraints are not enforced. We must rely on other means to verify the integrity of transformed tables.
We get a lot of use out of this software. It's vital for work with production in our industry and has a lot of cross-functionality - creating social media images, retouching photos, editing photos, creating gradients, and more. It's pretty fuss-free in that we haven't had to reach out to support and the program hasn't crashed on us. We are trained on the software (so again, this isn't for beginners), but for detail-oriented designers and creatives like ourselves - it's a no-brainer.
Adobe PhotoShop is a professional-grade tool that requires months/years to get a grasp of how to use it well. Even then, after over a decade of using Adobe PhotoShop both casually and professionally, I feel like I'm still unfamiliar with a large percentage of the available tools. Without a dedicated training program, it can be extremely overwhelming and/or you may not get good use out of it. That being said, once you do get comfortable with it, the layout and workspace are excellent with myriad shortcuts that speed up your workflow exponentially. Put in the time to learn it, and you'll love it.
Just very happy with the product, it fits our needs perfectly. Amazon pioneered the cloud and we have had a positive experience using RedShift. Really cool to be able to see your data housed and to be able to query and perform administrative tasks with ease.
Adobe Photoshop is very reliable, but is never 100%. There have been times when Adobe Photoshop has had trouble opening, but nothing a little computer restart couldn't fix. I use Adobe Photoshop on a Mac for both work and at home on a daily basis, and I would be lost without it.
Speed can be an issue when you are dealing with large files for large format printing or billboards. When working on web images, speed is not an issue.
While I never contacted Adobe directly, there is so much content out there in the form of YouTube videos, Lynda/LinkedIn learning that almost any issue, including bugs, can be worked around (and this method is generally faster as there's no turnaround time involved).
The support was great and helped us in a timely fashion. We did use a lot of online forums as well, but the official documentation was an ongoing one, and it did take more time for us to look through it. We would have probably chosen a competitor product had it not been for the great support
I took a course so it really helped. I didn’t take the course until much later after beginning to use it, so I wish work would have sent me right off the bat. It would have alleviated a lot of frustratinon
[Adobe] Photoshop offers the best photo editing as well as content creation. The layer-by-layer approach of [Adobe] Photoshop helps to work between two apps or even two PCs of entirely different Creative Cloud apps seamlessly. The stability and the speed of the tools in photoshop make it even better to make a canvas of creativity.
Than Vertica: Redshift is cheaper and AWS integrated (which was a plus because the whole company was on AWS). Than BigQuery: Redshift has a standard SQL interface, though recently I heard good things about BigQuery and would try it out again. Than Hive: Hive is great if you are in the PB+ range, but latencies tend to be much slower than Redshift and it is not suited for ad-hoc applications.
Redshift is relatively cheaper tool but since the pricing is dynamic, there is always a risk of exceeding the cost. Since most of our team is using it as self serve and there is no continuous tracking by a dedicated team, it really needs time & effort on analyst's side to know how much it is going to cost.
It does take a long time for the program to start up, however
The most difficult task is onboarding new employees into Adobe PhotoShop who don't have experience with it. It's an investment for their future so we see value in it.
Our company is moving to the AWS infrastructure, and in this context moving the warehouse environments to Redshift sounds logical regardless of the cost.
Development organizations have to operate in the Dev/Ops mode where they build and support their apps at the same time.
Hard to estimate the overall ROI of moving to Redshift from my position. However, running Redshift seems to be inexpensive compared to all the licensing and hardware costs we had on our RDBMS platform before Redshift.
